AI Business Analyst — Pharma Data & AI Enablement

Location:

Onsite, Fosters City CA ? No remote

Job Type: FTE

Job Description:

Primary skills / experience (must have):

• Must be able to quickly learn to use new systems
• Strong, clear, concise written and oral communication
• Ability to self-motivate and work independently
• Ability to translate ambiguous business problems into structured, testable requirements
• Experience defining metrics, KPIs, or success criteria aligned to business outcomes
• Experience working for pharmaceutical company in development
• Familiarity with AI/ML concepts (e.g., model outputs, evaluation, prompt-based systems, agent workflows)
• Experience supporting AI/analytics use cases or data products
• Experience working with iterative/experimental delivery models (0?1 prototyping)
• Understand GXP system validation process
• Basic SQL skills for data analysis and data verification.

Key Responsibilities:

• Individual contributor partner with Product Manager, Business Lead, AI Leads, and Data Lead to define AI use cases, including problem framing, success criteria, and measurable outcomes
• Translate business needs into AI-ready requirements, including:
• Model outputs (predictions, insights, recommendations)
• User interaction patterns (e.g., workflows, prompts, dashboards)
• Act as the primary bridge between ?what?s needed? (business) and ?what?s possible? (technical) to ensure stakeholder alignment.
• Leads requirements refinement, including current/future?state analysis, requirements documentation, prioritization, feasibility alignment and stakeholder alignment.
• Document user, functional and AI-specific requirements including data inputs, model output, user interaction workflows with acceptance criteria aligned to business outcomes and system behavior.
• Owns User Acceptance Testing planning and execution.
• Partners with Testing team to ensure requirements are testable and the solution is ready for release.
• Update and maintain user stories and acceptance criteria in jira/ADO.
• Author formal User Requirements Specification (URS)/Functional Requirements Specification (FRS), when required
• Partners with testing teams to ensure requirements are clear, unambiguous, and testable.
• Produce current?state and future?state artifacts (process flows, data flows, impact summaries) as required to support solution design.
• Lead or contribute to data specifications, source-to-target mappings, and AI input/output definitions in partnership with Data and AI teams
• Develop User Acceptance Test (UAT) Plan, scenarios, and test cases aligned to approved requirements.
• Lead UAT, including coordination of test cycles, defect logging, and retesting.
• Produce UAT test summary report supporting business acceptance and release readiness.
• Provide regular status updates covering progress, risks, issues, and dependencies.
• Document decisions, assumptions, and clarifications related to contracted scope.